Glitch is the intentional creation of image, video, and audio errors (glitches) by destroying digital data or physically manipulating electronic devices for artistic purposes. The effects of such glitches are often unpredictable and aesthetically interesting. We are exploring the techniques and effects of glitch, and as part of this exploration, we are attempting to create glitch sounds based on image manipulation. Specifically, we use image processing software (Photoshop, etc.) to generate glitches in sound data. Normally, it is impossible to load sound data into image processing software, but by treating the data as raw data, it is possible to generate glitches by applying image processing such as monochrome conversion, blur, gradation, etc. to the sound data. This method is based on the visualization of sound and is interesting in that it explores the relationship between glitch images and sound. In fact, we have confirmed that this method can produce aesthetically interesting glitch sounds. This method of generating glitch sounds in a sophisticated format based on image manipulation differs significantly from conventional methods and has artistic significance in that it allows the user to enjoy the generation and appreciation of glitch sounds from an image perspective. As an extension of this project, we aim to generate image glitches using audio processing software that reads image data and performs audio processing (reverb, echo, etc.) to realize reversible glitch art between image and sound. We are also considering a live coding tool that generates glitch art of sound and image in real time.

Authors:
Noriki Amano, Mukogawa Women’s University, Japan

About the Presenter(s)
Professor Noriki Amano is a University Professor/Principal Lecturer at Mukogawa Women’s University in Japan

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